UNASSIGNED: This study aims to investigate the association between central obesity and the risk of osteoarthritis, and the mediating role of biological age and biological aging advance in this relationship.
UNASSIGNED: The study is based on data from the National Health and Nutrition Examination Survey (NHANES) for the years 2005-2018. Thirteen commonly used clinical traits were used to calculate the Klemera-Doubal method age (KDM-Age) and phenotypic age (Pheno-Age) as two measures of biological aging. Additionally, KDM-Age advance and Pheno-Age advance were calculated as two measures of biological aging advance. Weighted multivariable logistic regression was used to analyze the association between central obesity and the risk of osteoarthritis (OA). Mediation analysis was then applied to elucidate the role of biological aging and biological aging advance in this relationship.
UNASSIGNED: A total of 31,162 subjects aged ≥20 years were included in this study, of which 3,964 subjects reported having OA (14%). Compared to the Non-OA group, the OA group showed significantly higher proportions of central obesity, KDM-Age, KDM-Age advance, PhenoAge, and PhenoAge advance. Compared to the Non-central obesity group, the central obesity group had higher KDM-Age, KDM-Age advance, PhenoAge, PhenoAge advance, and a higher risk of OA (p < 0.05). Additionally, higher KDM-Age, KDM-Age advance, PhenoAge, and PhenoAge advance were positively correlated with the risk of OA (p < 0.05). Mediation analysis revealed that part of the association between central obesity and the risk of OA was mediated by KDM-Age, KDM-Age advance, PhenoAge, and PhenoAge advance (p < 0.05).
UNASSIGNED: Central obesity increases the risk of OA, with part of this association being mediated by biological aging and biological aging advance.

The purpose of this study was to describe the prevalence of central obesity and its influencing factors among Chinese adults aged 18 or older. The data were from China Nutrition and Health Surveillance (2015-2017), which used a stratified, multistage, random sampling method. A total of 145,298 adults aged 18 years or older from 31 provinces were included in this study. The Criteria of Weight for Adults promulgated by China in 2013 were used to determine central obesity. Out of all the adults investigated, 48,342 were identified with central obesity, with a prevalence rate of 33.3%. A logistic analysis suggested that the following factors were associated with central obesity: female sex [odds ratio (OR) = 1.329, 95%CI = 1.277~1.384]; increasing age [OR (95%CI): 1.146 (1.061~1.238), 1.254 (1.167~1.348), 1.774 (1.651~1.907), 2.041 (1.894~2.198), 2.434 (2.239~2.647)]; being married [OR = 1.184, 95%CI = 1.077~1.302]; being divorced or widowed [OR = 1.132, 95%CI = 1.006~1.273]; an urban setting [OR = 1.096, 95%CI = 1.061~1.132]; BMI [OR (95%CI): 0.159 (0.095~0.266), 12.645 (11.388~14.042), 180.989 (153.025~214.064)]; drinking [OR = 1.069, 95%CI = 1.031~1.109]; and screen time > 5 h [OR = 1.088, 95%CI = 1.036~1.141] were risk factors for central obesity; while education above primary school [OR (95%CI): 0.905 (0.875~0.936), 0.857 (0.802~0.915)] and sufficient physical activity [OR = 0.819, 95%CI = 0.782~0.858] were protective factors for central obesity. This study revealed that the prevalence of central obesity, which differed by gender and age, is still high. Large differences between different groups and geographic regions exist persistently. Effective, sustainable, and culturally targeted interventions are needed.

BACKGROUND: Cardiovascular diseases (CVDs) pose a significant threat to public health. Evidence indicates that the combination of central obesity and normal body mass index (BMI) is associated with an increased risk of cardiovascular disease and mortality. However, limited evidences exists in middle aged and elderly adults in China.
METHODS: This was a prospective cohort study that utilized a nationally representative sample of 6,494 adults aged 45 years and above. These individuals participated in the China Health and Retirement Longitudinal Study spanning from 2011 to 2018. Height, weight and waist circumference (WC) were measured, and BMI was calculated by height and weight. Other variables were obtained through self-reported questionnaires. Association analysis was conducted using Cox proportional hazard regression models.
RESULTS: A total of 10,186 participants were investigated, with 57,185 person-years of follow-up. During this period, 1,571 CVDs occurred, including 1,173 heart diseases and 527 strokes. After adjusting for various factors including age, gender, education, marital status, smoking status, alcohol intake, social activity, hypertension, dyslipidemia, diabetes, cancer, chronic lung diseases, liver disease, kidney disease, digestive disease, ENP(emotional, nervous, or psychiatric problems), memory related disease, arthritis or rheumatism, asthma, self-rated health and depression, the results revealed that compared to those with normal WC normal body mass index (BMI), individuals with central obesity normal BMI had a 27.9% higher risk of CVD incidence (95% confidence interval [CI]:1.074-1.524), and a 33.4% higher risk of heart disease incidence (95% CI:1.095-1.625), while no significant association was found with stroke. Additionally, those with normal WC high BMI showed a 24.6% higher risk of CVD incidence (95% CI:1.046-1.483), and a 29.1% higher risk of heart disease incidence (95% CI:1.045-1.594), again with no significant association with stroke. Finally, individuals with central obesity high BMI exhibited a 49.3% higher risk of CVD incidence (95% CI:1.273-1.751), a 61% higher risk of heart disease incidence (95% CI:1.342-1.931), and a 34.2% higher risk of stroke incidence (95% CI:1.008-1.786). Age- and sex- specific analyses further revealed varying trends in these associations.
CONCLUSIONS: We discovered that the combined association of body mass index(BMI) and central obesity with CVD incidence exhibited a significantly enhanced predictive value. Specifically, a high BMI with central obesity was notably linked to an increased risk of CVD incidence. Additionally, central obesity with a normal BMI or a normal WC coupled with a high BMI significantly augmented the risk of heart disease incidence, but not stroke. Notably, male and middle-aged adults demonstrated a greater propensity for heart disease incidence. Our study underscores the importance of maintaining an optimal BMI and preventing abdominal obesity in promoting cardiovascular health.

BACKGROUND: Environmental and lifestyle factors are associated with an increased risk of Multiple Sclerosis (MS). Metabolic syndrome (MetS) contributes to systemic inflammation, which is associated with poorer MS disease evolution. We compared persons with MS (PwMS) and controls to assess metabolic and lifestyle parameters associated with MS.
METHODS: We pooled data from two prospective observational studies with the same eligibility criteria, matching PwMS and controls (1:2 ratio) by sex, age, and body mass index (BMI). We compared anthropometric, biological and lifestyle parameters, including sleep and physical activity.
RESULTS: We included 53 PwMS and 106 controls with a median age of 35 years and 79% of women. PwMS had low Expanded Disability Status Scale (median 1.5). Compared to controls, PwMS had increased waist-to-hip (p<0.001) and waist-to-height (p=0.007) ratios, and practiced less physical activity (p=0.03). In regression models, lifestyle factors with the strongest factor loadings to predict central obesity were processed food consumption, and vigorous physical activity.
CONCLUSIONS: Although both groups were matched by age, sex, and BMI, we found increased central obesity in PwMS. Even with minimal neurological impairment, PwMS practiced less physical activity. This suggests that improvement of lifestyle and metabolic parameters should be targeted in MS.

Little is known about the changes in body composition (BC) in people with overweight or obesity. The aim of this study was to assess the differences in BC patterns in this population based on gender and age. A total of 2844 Italian adults of mixed gender and a body mass index (BMI) of ≥25 kg/m2 underwent a BC assessment by means of dual-energy X-ray absorptiometry (DXA). The sample was categorized into three age groups: \'young\' (20-39 years), \'middle\' (40-59 years), and \'older\' (60-80 years) adults, after being matched by body weight and BMI. Males showed higher total body fat percentage (BF%) and a lower total lean mass (LM), progressively from the young to the middle to the older age groups, while females showed similar values for these total compartments between the three age groups. However, in both genders, participants in the middle and older groups were more likely to have a higher trunk fat percentage by +1.23% to +4.21%, and lower appendicular lean mass (ALM) by -0.81 kg to -2.63 kg with respect to the young group, indicating expression of major central adiposity and sarcopenia. While our findings underscore the limitations of BMI to detect these differences between age groups, the identification of new tools suitable for this aim is greatly needed in this population. Moreover, further investigation that clarifies the impact of these differences in BC patterns between gender and age groups on health outcomes is also required.

UNASSIGNED: The prevalence of obesity (Ob), overweight (Ow) and central obesity (CO) in children and adolescents has increased dramatically over the past decades globally. Flavanones have been recently studied as adjuvants for the treatment of obesity. This study was aimed at evaluating the association between intake of flavanones and its subclasses and the Ow/Ob and CO in children and adolescents.
UNASSIGNED: This cross-sectional study extracted the data of children and adolescents with Ow/Ob and CO from the National Health and Nutrition Examination Survey (NHANES) database for 2007-2010 and 2017-2018. Ow and Ob were defined as a body mass index (BMI) ≥ 85th percentile. CO was defined as a waist circumference (WC) ≥ 90th percentile. The association between intake of flavanones and its subclasses and the Ow/Ob and CO in children and adolescents was determined by weighted univariate and multivariate Logistic regression models adjusted for potential covariates, and odds ratios (ORs) with 95% confidence intervals (CIs) was calculated. To further explore association between intake of flavanones and its subclasses and the Ow/Ob and CO in children and adolescents, subgroup analyses stratified by age, and gender.
UNASSIGNED: Of the total 5,970 children and adolescents, 2,463 (41.2%) developed Ow/Ob and 1,294 (21.7%) patients developed CO. High intake of flavanones, eriodictyol, hesperetin, and naringenin were associated with lower odds of Ow/Ob in children and adolescents. (OR: 0.75, 95%CI: 0.62-0.92, OR: 0.69, 95%CI: 0.55-0.87, OR: 0.69, 95%CI: 0.55-0.87, and OR: 0.76, 95%CI: 0.63-0.92, respectively). In addition, high intake of flavanones, eriodictyol, and naringenin were associated with lower odds of CO in children and adolescents (OR: 0.71, 95%CI: 0.57-0.88, OR: 0.67, 95%CI: 0.51-0.86, and OR: 0.69, 95%CI: 0.55-0.86, respectively). Subgroup analyses showed that among all the different subgroups, high intake of flavanones was associated with lower odds of Ow/Ob and CO in children and adolescents.
UNASSIGNED: A diet loaded with high flavanones were associated with lower odds of Ow/Ob and CO in children and adolescents, and children and adolescents should be encouraged to increase their intake of flavanones.

UNASSIGNED: Neck circumference (NC) measurement has been recently developed as a simple and time-saving anthropometric method for predicting cardiovascular risk. Asymptomatic hyperuricemia is known as one of the cardiovascular risk factors. This study investigated the association between NC and asymptomatic hyperuricemia among the general population of Korea.
UNASSIGNED: This cross-sectional study examined data from 7,629 participants in the 2019-2020 Korea National Health and Nutrition Examination Survey. Multivariable logistic regression analysis was used to identify the factors associated with hyperuricemia.
UNASSIGNED: Approximately 10% of participants corresponded to hyperuricemia group who were likely to be male, have more comorbidities, poorer habits, and larger NC. Multivariable regression analysis revealed that NC was significantly associated with hyperuricemia in women (OR 1.17; 95% CI 1.06-1.30), but not in men (OR 1.04; 95% CI 0.96-1.12).
UNASSIGNED: A large NC is independently correlated with hyperuricemia among Korean women.

BACKGROUND: Central obesity has been shown to better indicate health risks compared to general obesity. Measures of central obesity include waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and waist circumference (WC). The National Institute of Health and Care Excellence (NICE) recently recommended the use of WHtR alongside body mass index (BMI) to identify risks in adults and children, whilst recognising the need for more evidence relating to WHtR in children. This study explores risk thresholds for central obesity measures throughout adolescence. It compares these with those currently recommended in England and discusses whether these thresholds are age- and sex-specific.
METHODS: Data on adolescents aged 11 to 18 years from the Health Survey for England (HSE) during 2005 to 2014 was used to calculate WHtR, WHR and WC percentiles. Next, smoothed lambda-mu-sigma (LMS) curves were created and the percentiles which align with the adult thresholds at age 18 years identified. This allows the most appropriate risk related thresholds for each measure during adolescence to be determined.
RESULTS: WHtR LMS curves are stable and flat throughout adolescence. WHR decreases in girls and WC increases in both boys and girls, during adolescence. Across all measures, there is slightly more fluctuation in higher percentiles, and in girls\' WHR.
CONCLUSIONS: In practice, WHtR thresholds are simple to use to identify central obesity related risks. In particular, they are recommended because the same thresholds can be used for males and females and for adolescents and adults. The results support NICE guidance to use WHtR thresholds alongside BMI thresholds to identify individual risk.
CONCLUSIONS: This study uses central obesity measures, including waist-to-height and waist-to-hip ratios, to investigate risk-related thresholds for adolescents. It is the first to do so using English data. It provides support for current NICE recommendations to use adult waist-to-height thresholds in adults and children, alongside BMI measures in clinical and non-clinical settings.

UNASSIGNED: Available evidence suggests a link between exposure to transportation noise and an increased risk of obesity. We aimed to assess exposure-response functions for long-term residential exposure to road traffic, railway and aircraft noise, and markers of obesity.
UNASSIGNED: Our cross-sectional study is based on pooled data from 11 Nordic cohorts, including up to 162,639 individuals with either measured (69.2%) or self-reported obesity data. Residential exposure to transportation noise was estimated as a time-weighted average Lden 5 years before recruitment. Adjusted linear and logistic regression models were fitted to assess beta coefficients and odds ratios (OR) with 95% confidence intervals (CI) for body mass index, overweight, and obesity, as well as for waist circumference and central obesity. Furthermore, natural splines were fitted to assess the shape of the exposure-response functions.
UNASSIGNED: For road traffic noise, the OR for obesity was 1.06 (95% CI = 1.03, 1.08) and for central obesity 1.03 (95% CI = 1.01, 1.05) per 10 dB Lden. Thresholds were observed at around 50-55 and 55-60 dB Lden, respectively, above which there was an approximate 10% risk increase per 10 dB Lden increment for both outcomes. However, linear associations only occurred in participants with measured obesity markers and were strongly influenced by the largest cohort. Similar risk estimates as for road traffic noise were found for railway noise, with no clear thresholds. For aircraft noise, results were uncertain due to the low number of exposed participants.
UNASSIGNED: Our results support an association between road traffic and railway noise and obesity.

Smartphone addiction (SA) has emerged as an important health concern worldwide. Recent studies have recognized SA as one of the factors that promote sedentarism and can contribute to obesity. However, the relationship between SA and obesity among Indian young adults remains understudied. The present study aims to estimate the prevalence of SA and explore its association with general and central obesity among young adults in Delhi, India. This cross-sectional study was conducted among 246 young adults (aged 18-30 years) of either sex (60.16% females) from Delhi. Screening for SA was done using the Smartphone Addiction Scale-Short Version. Somatometric measurements (height, weight, waist circumference, and hip circumference) were taken to determine general and central obesity. SA was prevalent among 25.2% of the participants. The prevalence of SA was higher among males and undergraduate students than among females and postgraduate/MPhil/PhD students, respectively. Further, SA was not associated with any of the obesity variables. Interestingly, smartphone addicts were found to have a 2.5-fold increased risk of being underweight. Though SA was not associated with obesity, it was found to be associated with being underweight, indicating a relationship between smartphone use and nutritional status among young adults.